Shoki Miyagawa
プロジェクトマネージャー at Preferred Networks, Inc.
Zushi, Japan
Summary
👤
Senior🎓
Top SchoolShoki Miyagawa is a project manager and software engineer with a decade of experience bridging research and product development in HCI and machine learning. After studying physics and publishing HCI research, he spent four years at Mitsubishi Electric developing explainable-AI solutions for manufacturing, producing two papers and five patents addressing skilled labor shortages. Since 2023 he has been building and managing development of plant automatic operation systems at Preferred Networks, recently advancing to engineering manager and project manager roles. He contributes to open-source tooling—most notably enhancements to Optuna’s evaluator API—demonstrating a strong practical grasp of optimization internals. Based in Zushi, Japan, he combines academic rigor with hands-on engineering and team leadership, and is currently expanding his business acumen through graduate study at Globis.
10 years of coding experience
4 years of employment as a software developer
修士, Engineering Physics/Applied Physics, 修士, Engineering Physics/Applied Physics at 早稲田大学 WASEDA Universityグロービス経営大学院
Github Skills (5)
hyperparameter-optimization10
machine-learning10
python10
testing9
documentation8
Programming languages (1)
Github contributions (5)
optuna/optuna
Sep 2023 - Oct 2023
A hyperparameter optimization framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 2 PRs, 5 comments in 21 days
Contributions summary:Shoki primarily focused on improving the documentation and making corrections to the `optuna` project. They updated file paths and corrected the naming of directories. A significant contribution was the addition of a new `BestValueStagnationEvaluator` class, including implementation, documentation, and testing. These commits demonstrate an understanding of the project's internal structure and API, focusing on the optimization aspects of the project.
pythonoptimization-frameworkparallelhyperparameteroptimization
smygw72/RBFT-Radial-Basis-Function-Transformation-
Jul 2017 - Mar 2021
Contributions:6 commits, 5 pushes, 1 branch in 3 years 9 months
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